Automated Adverse Media Investigations
AML | KYC | Due Diligence
Radically simplify and accelerate the identification of high-risk people and entities
Merlon automates the organization and screening of relevant negative news articles, improving risk detection while enabling compliance analysts to focus on reviewing findings and evidence
Investigation
Automated risk extraction from adverse media
Finding
Summary of risks and supporting evidence
Review
Faster, more accurate decisioning
Transforming Manual Adverse Media Screening into Automated Investigations
AI Automates the Adverse Media Investigation Process
Adverse media screening has historically been a highly manual process of finding, organizing, and reading articles. With Merlon, natural language processing (NLP) and artificial intelligence (AI) automate repetitive manual tasks, reducing compliance cost and institutional risk.
- Separate relevant and irrelevant articles
- Understand article context
- Determine subject’s involvement
- Align relevant risks with FATF Predicate Offenses, USA Bank Secrecy Act, and 6th EU Money Laundering Directive
Analysts Review Investigation Findings and Evidence Instead of Articles
Findings include extracted personal or business details, risk information, and article snippets to enable efficient remediation. Analysts can quickly drill into underlying articles for additional details if needed.
This approach revolutionizes adverse media remediation.
Extraordinary Business Benefits
Compliance teams shift to value-added decisioning, enabling better investigations. A more consistent and effective risk-based approach achieves significant cost reductions.
With no lengthy deployment timeline, start realizing the time- and cost-saving benefits of Merlon immediately.
Getting Started with Merlon Is Simple
Begin running investigations on day one with our cloud-based solution. For the enterprise, on-premise, custom data ingestion, and API access are available.
Contract flexibility means being able to adjust your subscription to meet changing business conditions, increasing or decreasing seat licenses on demand.
